This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_slepssquz_thru2024_5e+05_noSEoR_2025-11-14 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9945
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.3639847

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.15 while 0.85 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.259	0.232	0.080	0.556	1.043	0.127	0.213	NSEI
p_pelagic	13	1	2	0.102	0.083	0.026	0.273	1.045	0.066	0.287	NSEI
p_yellow	13	1	1	0.504	0.438	0.140	0.990	1.053	0.259	0.255	NSEI
p_yellow	13	1	2	0.506	0.441	0.140	0.990	1.060	0.261	0.249	NSEI
p_pelagic	13	10	1	0.282	0.265	0.094	0.558	1.043	0.123	0.139	NSEI
p_pelagic	13	10	2	0.114	0.098	0.031	0.293	1.032	0.069	0.233	NSEI
p_yellow	13	10	1	0.499	0.427	0.135	0.989	1.064	0.262	0.275	NSEI
p_yellow	13	10	2	0.507	0.438	0.142	0.989	1.062	0.259	0.266	NSEI
p_pelagic	13	11	1	0.291	0.273	0.101	0.567	1.016	0.124	0.145	NSEI
p_pelagic	13	11	2	0.117	0.101	0.033	0.293	1.035	0.068	0.236	NSEI
p_yellow	13	11	1	0.499	0.424	0.142	0.989	1.068	0.262	0.286	NSEI
p_yellow	13	11	2	0.505	0.438	0.139	0.991	1.065	0.260	0.258	NSEI
p_pelagic	13	12	1	0.294	0.280	0.104	0.582	1.041	0.125	0.112	NSEI
p_pelagic	13	12	2	0.119	0.103	0.033	0.290	1.029	0.068	0.235	NSEI
p_yellow	13	12	1	0.501	0.427	0.145	0.990	1.057	0.260	0.284	NSEI
p_yellow	13	12	2	0.506	0.438	0.136	0.990	1.063	0.261	0.260	NSEI
p_pelagic	13	13	1	0.298	0.280	0.104	0.568	1.028	0.124	0.145	NSEI
p_pelagic	13	13	2	0.122	0.106	0.034	0.306	1.021	0.071	0.225	NSEI
p_yellow	13	13	1	0.502	0.436	0.139	0.989	1.063	0.260	0.254	NSEI
p_yellow	13	13	2	0.499	0.432	0.131	0.989	1.063	0.265	0.253	NSEI
p_pelagic	13	14	1	0.289	0.274	0.108	0.556	1.024	0.115	0.130	NSEI
p_pelagic	13	14	2	0.123	0.110	0.037	0.281	1.020	0.064	0.204	NSEI
p_yellow	13	14	1	0.498	0.430	0.135	0.989	1.059	0.261	0.260	NSEI
p_yellow	13	14	2	0.500	0.426	0.141	0.991	1.058	0.259	0.285	NSEI
p_pelagic	13	15	1	0.260	0.242	0.096	0.530	1.014	0.110	0.164	NSEI
p_pelagic	13	15	2	0.119	0.106	0.037	0.280	1.016	0.063	0.206	NSEI
p_yellow	13	15	1	0.494	0.420	0.135	0.989	1.065	0.260	0.285	NSEI
p_yellow	13	15	2	0.500	0.430	0.140	0.989	1.058	0.262	0.267	NSEI
p_pelagic	13	16	2	0.130	0.117	0.039	0.291	1.018	0.065	0.199	NSEI
p_yellow	13	16	1	0.503	0.433	0.135	0.990	1.056	0.264	0.265	NSEI
p_yellow	13	16	2	0.502	0.438	0.135	0.991	1.061	0.259	0.247	NSEI
p_pelagic	13	17	1	0.314	0.301	0.131	0.565	1.015	0.113	0.115	NSEI
p_pelagic	13	17	2	0.139	0.126	0.043	0.310	1.016	0.069	0.189	NSEI
p_yellow	13	17	1	0.500	0.431	0.135	0.989	1.055	0.260	0.265	NSEI
p_yellow	13	17	2	0.502	0.430	0.139	0.989	1.055	0.261	0.276	NSEI
p_pelagic	13	18	2	0.144	0.131	0.045	0.316	1.010	0.069	0.188	NSEI
p_yellow	13	18	1	0.498	0.430	0.131	0.990	1.057	0.262	0.260	NSEI
p_yellow	13	18	2	0.505	0.435	0.148	0.989	1.052	0.260	0.269	NSEI
p_pelagic	13	19	1	0.329	0.318	0.140	0.575	1.012	0.113	0.097	NSEI
p_yellow	13	19	1	0.501	0.434	0.140	0.988	1.056	0.261	0.257	NSEI
p_yellow	13	19	2	0.505	0.442	0.137	0.991	1.065	0.261	0.241	NSEI
p_pelagic	13	2	1	0.260	0.235	0.079	0.562	1.040	0.128	0.196	NSEI
p_pelagic	13	2	2	0.104	0.083	0.026	0.287	1.045	0.070	0.302	NSEI
p_yellow	13	2	1	0.499	0.433	0.131	0.990	1.068	0.262	0.252	NSEI
p_yellow	13	2	2	0.508	0.442	0.141	0.990	1.057	0.260	0.253	NSEI
p_yellow	13	20	1	0.501	0.425	0.136	0.990	1.064	0.263	0.289	NSEI
p_yellow	13	20	2	0.510	0.437	0.141	0.989	1.056	0.259	0.282	NSEI
p_yellow	13	21	1	0.503	0.435	0.145	0.990	1.067	0.259	0.263	NSEI
p_yellow	13	21	2	0.502	0.432	0.142	0.991	1.059	0.261	0.268	NSEI
p_yellow	13	22	1	0.500	0.432	0.131	0.989	1.061	0.260	0.262	NSEI
p_yellow	13	22	2	0.498	0.430	0.137	0.990	1.057	0.260	0.262	NSEI
p_yellow	13	23	1	0.470	0.401	0.112	0.987	1.062	0.266	0.259	NSEI
p_yellow	13	23	2	0.549	0.502	0.170	0.992	1.056	0.251	0.187	NSEI
p_yellow	13	24	1	0.468	0.392	0.114	0.988	1.061	0.267	0.285	NSEI
p_yellow	13	24	2	0.547	0.496	0.172	0.992	1.048	0.251	0.204	NSEI
p_yellow	13	25	1	0.471	0.396	0.113	0.986	1.065	0.264	0.284	NSEI
p_yellow	13	25	2	0.543	0.489	0.166	0.992	1.056	0.248	0.218	NSEI
p_yellow	13	26	1	0.462	0.385	0.108	0.988	1.064	0.267	0.289	NSEI
p_yellow	13	26	2	0.539	0.492	0.170	0.992	1.055	0.247	0.190	NSEI
p_yellow	13	27	1	0.449	0.374	0.109	0.985	1.066	0.260	0.289	NSEI
p_yellow	13	27	2	0.537	0.488	0.161	0.991	1.049	0.246	0.199	NSEI
p_yellow	13	28	1	0.457	0.396	0.105	0.982	1.057	0.254	0.240	NSEI
p_yellow	13	28	2	0.533	0.486	0.173	0.991	1.062	0.241	0.195	NSEI
p_yellow	13	29	1	0.421	0.364	0.109	0.971	1.052	0.237	0.241	NSEI
p_yellow	13	29	2	0.514	0.472	0.167	0.983	1.058	0.227	0.185	NSEI
p_pelagic	13	3	1	0.264	0.240	0.078	0.575	1.033	0.131	0.183	NSEI
p_pelagic	13	3	2	0.105	0.087	0.026	0.291	1.047	0.067	0.269	NSEI
p_yellow	13	3	1	0.504	0.434	0.141	0.990	1.059	0.260	0.270	NSEI
p_yellow	13	3	2	0.505	0.436	0.139	0.990	1.060	0.261	0.264	NSEI
p_pelagic	13	4	1	0.267	0.242	0.081	0.575	1.050	0.130	0.192	NSEI
p_pelagic	13	4	2	0.108	0.089	0.028	0.282	1.039	0.068	0.280	NSEI
p_yellow	13	4	1	0.500	0.426	0.141	0.990	1.063	0.264	0.281	NSEI
p_yellow	13	4	2	0.501	0.430	0.138	0.989	1.067	0.263	0.270	NSEI
p_pelagic	13	5	1	0.267	0.240	0.085	0.577	1.037	0.130	0.207	NSEI
p_pelagic	13	5	2	0.108	0.090	0.028	0.287	1.047	0.067	0.269	NSEI
p_yellow	13	5	1	0.500	0.429	0.141	0.990	1.057	0.260	0.273	NSEI
p_yellow	13	5	2	0.504	0.432	0.136	0.989	1.057	0.261	0.276	NSEI
p_pelagic	13	6	1	0.270	0.248	0.085	0.565	1.040	0.127	0.174	NSEI
p_pelagic	13	6	2	0.107	0.089	0.027	0.282	1.035	0.067	0.269	NSEI
p_yellow	13	6	1	0.500	0.429	0.143	0.989	1.058	0.262	0.271	NSEI
p_yellow	13	6	2	0.505	0.437	0.142	0.991	1.055	0.263	0.259	NSEI
p_pelagic	13	7	1	0.270	0.249	0.086	0.567	1.038	0.125	0.168	NSEI
p_pelagic	13	7	2	0.107	0.090	0.028	0.290	1.057	0.068	0.251	NSEI
p_yellow	13	7	1	0.499	0.431	0.140	0.990	1.052	0.262	0.259	NSEI
p_yellow	13	7	2	0.505	0.439	0.138	0.989	1.057	0.262	0.252	NSEI
p_pelagic	13	8	1	0.274	0.253	0.091	0.554	1.024	0.124	0.170	NSEI
p_pelagic	13	8	2	0.110	0.093	0.030	0.283	1.041	0.066	0.256	NSEI
p_yellow	13	8	1	0.505	0.437	0.140	0.988	1.064	0.261	0.260	NSEI
p_yellow	13	8	2	0.502	0.432	0.140	0.991	1.064	0.261	0.269	NSEI
p_pelagic	13	9	1	0.279	0.258	0.095	0.568	1.031	0.124	0.170	NSEI
p_pelagic	13	9	2	0.112	0.097	0.031	0.277	1.036	0.066	0.229	NSEI
p_yellow	13	9	1	0.501	0.431	0.138	0.990	1.061	0.260	0.269	NSEI
p_yellow	13	9	2	0.503	0.434	0.143	0.990	1.065	0.262	0.264	NSEI
p_yellow	14	17	1	0.580	0.574	0.254	0.972	1.011	0.183	0.033	NSEO
p_yellow	14	19	2	0.623	0.617	0.305	0.980	1.010	0.174	0.034	NSEO
p_yellow	14	2	2	0.623	0.620	0.300	0.979	1.010	0.177	0.017	NSEO
p_black	14	21	1	0.920	0.946	0.692	0.993	1.013	0.083	-0.314	NSEO
p_yellow	14	22	2	0.621	0.615	0.295	0.979	1.010	0.176	0.034	NSEO
p_yellow	14	8	1	0.584	0.573	0.262	0.973	1.014	0.181	0.061	NSEO
p_pelagic	16	1	1	0.409	0.406	0.146	0.688	1.053	0.139	0.022	SSEO
p_pelagic	16	1	2	0.384	0.379	0.134	0.654	1.043	0.136	0.037	SSEO
p_pelagic	16	10	1	0.409	0.403	0.155	0.684	1.027	0.140	0.043	SSEO
p_pelagic	16	10	2	0.383	0.378	0.151	0.664	1.037	0.137	0.037	SSEO
p_pelagic	16	11	1	0.411	0.406	0.162	0.683	1.032	0.138	0.036	SSEO
p_pelagic	16	11	2	0.392	0.389	0.154	0.669	1.034	0.135	0.022	SSEO
p_pelagic	16	12	1	0.412	0.410	0.160	0.683	1.031	0.136	0.015	SSEO
p_pelagic	16	12	2	0.391	0.385	0.151	0.662	1.039	0.135	0.045	SSEO
p_pelagic	16	13	1	0.412	0.405	0.166	0.679	1.033	0.135	0.052	SSEO
p_pelagic	16	13	2	0.392	0.384	0.154	0.673	1.034	0.137	0.059	SSEO
p_pelagic	16	14	1	0.397	0.389	0.156	0.669	1.023	0.137	0.058	SSEO
p_pelagic	16	14	2	0.387	0.384	0.152	0.654	1.026	0.132	0.023	SSEO
p_pelagic	16	15	1	0.402	0.398	0.159	0.667	1.024	0.135	0.030	SSEO
p_pelagic	16	15	2	0.392	0.385	0.157	0.662	1.032	0.134	0.052	SSEO
p_pelagic	16	16	1	0.395	0.389	0.166	0.655	1.031	0.130	0.046	SSEO
p_pelagic	16	16	2	0.389	0.382	0.152	0.647	1.031	0.130	0.054	SSEO
p_pelagic	16	17	1	0.453	0.447	0.212	0.708	1.031	0.131	0.046	SSEO
p_pelagic	16	17	2	0.410	0.404	0.174	0.687	1.023	0.134	0.045	SSEO
p_pelagic	16	18	1	0.428	0.423	0.198	0.689	1.026	0.130	0.039	SSEO
p_pelagic	16	18	2	0.409	0.407	0.169	0.667	1.018	0.133	0.015	SSEO
p_pelagic	16	19	1	0.421	0.415	0.199	0.689	1.013	0.128	0.047	SSEO
p_pelagic	16	19	2	0.402	0.397	0.171	0.656	1.012	0.126	0.040	SSEO
p_pelagic	16	2	1	0.408	0.406	0.149	0.691	1.029	0.141	0.014	SSEO
p_pelagic	16	2	2	0.382	0.374	0.142	0.669	1.027	0.137	0.058	SSEO
p_pelagic	16	20	1	0.423	0.419	0.192	0.678	1.024	0.128	0.031	SSEO
p_pelagic	16	20	2	0.405	0.401	0.173	0.669	1.021	0.129	0.031	SSEO
p_pelagic	16	21	1	0.401	0.392	0.181	0.658	1.012	0.125	0.072	SSEO
p_pelagic	16	21	2	0.400	0.393	0.179	0.652	1.013	0.123	0.057	SSEO
p_pelagic	16	22	2	0.408	0.400	0.186	0.665	1.021	0.124	0.064	SSEO
p_slope	16	23	1	0.120	0.093	0.048	0.319	1.013	0.070	0.388	SSEO
p_pelagic	16	3	1	0.407	0.404	0.158	0.684	1.040	0.139	0.022	SSEO
p_pelagic	16	3	2	0.384	0.379	0.138	0.659	1.029	0.137	0.037	SSEO
p_dsr	16	30	1	0.418	0.418	0.393	0.446	1.047	0.014	0.000	SSEO
p_dsr	16	31	1	0.397	0.397	0.373	0.426	1.070	0.013	0.000	SSEO
p_slope	16	36	1	0.062	0.062	0.045	0.079	1.015	0.009	0.000	SSEO
p_slope	16	37	1	0.066	0.066	0.049	0.083	1.014	0.008	0.000	SSEO
p_pelagic	16	4	1	0.402	0.399	0.154	0.684	1.031	0.140	0.021	SSEO
p_pelagic	16	4	2	0.384	0.385	0.138	0.658	1.033	0.137	-0.007	SSEO
p_pelagic	16	41	1	0.794	0.794	0.786	0.801	1.114	0.004	0.000	SSEO
p_yellow	16	41	1	0.430	0.430	0.409	0.451	1.035	0.011	0.000	SSEO
p_dsr	16	41	1	0.487	0.482	0.449	0.537	3.024	0.025	0.199	SSEO
p_slope	16	41	1	0.116	0.125	0.073	0.148	4.799	0.024	-0.373	SSEO
p_pelagic	16	42	1	0.833	0.833	0.826	0.840	1.116	0.004	0.000	SSEO
p_yellow	16	42	1	0.406	0.406	0.384	0.429	1.068	0.011	0.000	SSEO
p_dsr	16	42	1	0.450	0.441	0.406	0.506	3.455	0.030	0.304	SSEO
p_slope	16	42	1	0.168	0.180	0.112	0.209	4.688	0.031	-0.385	SSEO
p_pelagic	16	5	1	0.404	0.402	0.158	0.679	1.039	0.138	0.014	SSEO
p_pelagic	16	5	2	0.386	0.383	0.143	0.658	1.038	0.135	0.022	SSEO
p_pelagic	16	6	1	0.411	0.410	0.154	0.689	1.037	0.141	0.007	SSEO
p_pelagic	16	6	2	0.382	0.375	0.139	0.656	1.039	0.136	0.051	SSEO
p_pelagic	16	7	1	0.407	0.404	0.154	0.682	1.034	0.137	0.022	SSEO
p_pelagic	16	7	2	0.386	0.380	0.144	0.665	1.041	0.139	0.043	SSEO
p_pelagic	16	8	1	0.408	0.405	0.159	0.692	1.042	0.140	0.021	SSEO
p_pelagic	16	8	2	0.387	0.382	0.144	0.670	1.030	0.136	0.037	SSEO
p_pelagic	16	9	1	0.409	0.403	0.161	0.681	1.040	0.136	0.044	SSEO
p_pelagic	16	9	2	0.387	0.381	0.149	0.672	1.025	0.137	0.044	SSEO
p_pelagic	3	1	1	0.552	0.559	0.286	0.792	1.014	0.133	-0.053	PWSI
p_pelagic	3	10	1	0.554	0.558	0.290	0.786	1.013	0.132	-0.030	PWSI
p_pelagic	3	11	2	0.191	0.177	0.065	0.399	1.016	0.087	0.160	PWSI
p_pelagic	3	14	1	0.555	0.561	0.287	0.790	1.014	0.131	-0.046	PWSI
p_pelagic	3	16	1	0.555	0.560	0.288	0.792	1.011	0.133	-0.038	PWSI
p_pelagic	3	17	1	0.554	0.557	0.287	0.792	1.010	0.131	-0.023	PWSI
p_pelagic	3	5	1	0.549	0.552	0.279	0.787	1.014	0.133	-0.023	PWSI
p_pelagic	3	7	1	0.556	0.559	0.292	0.790	1.012	0.131	-0.023	PWSI
p_pelagic	3	8	2	0.190	0.175	0.061	0.397	1.011	0.087	0.172	PWSI
p_pelagic	3	9	2	0.189	0.173	0.063	0.398	1.013	0.086	0.186	PWSI
p_black	8	40	1	0.513	0.419	0.342	0.966	1.060	0.213	0.441	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta0_pH	10	1	0.226	0.257	-0.466	0.642	1.165	0.261	-0.119	northeast
beta1_pH	10	1	2.270	2.148	1.535	4.229	1.288	0.596	0.205	northeast
beta3_pH	10	1	32.669	32.508	30.067	36.510	1.118	1.645	0.098	northeast
beta0_pH	11	1	0.096	0.144	-0.626	0.596	1.124	0.313	-0.153	CSEO
beta0_pH	11	4	0.884	1.014	-0.972	2.018	1.152	0.712	-0.183	CSEO
beta1_pH	11	1	3.300	3.232	2.546	4.584	1.149	0.500	0.136	CSEO
beta1_pH	11	3	15,175,302,054.951	5.424	0.223	1,393,120.825	1.291	824,028,935,930.384	0.018	CSEO
beta1_pH	11	4	1.886	1.799	0.536	3.766	1.162	0.760	0.114	CSEO
beta0_pH	12	4	0.962	1.030	-0.882	2.301	1.124	0.772	-0.088	EWYKT
beta1_pH	12	3	1,480,907,876.560	6.151	0.228	2,478,799.548	1.291	53,034,823,727.309	0.028	EWYKT
beta1_pH	12	4	3.138	3.078	1.702	5.043	1.101	0.788	0.076	EWYKT
beta0_pH	13	4	1.085	1.270	-0.785	1.776	1.453	0.650	-0.285	NSEI
beta1_pH	13	3	269,547,807.234	6.513	0.218	3,541,317.920	1.291	10,849,390,995.622	0.025	NSEI
beta1_pH	13	4	0.870	0.679	0.121	2.767	1.482	0.681	0.281	NSEI
beta3_pelagic	13		30.251	29.799	24.116	39.285	1.103	3.785	0.119	NSEI
beta1_pH	14	3	26,481,411,861.052	5.606	0.222	3,620,182.913	1.291	1,391,709,173,602.750	0.019	NSEO
beta2_yellow	14		-5.601	-4.102	-18.553	-0.306	1.275	4.983	-0.301	NSEO
beta0_pH	15	4	0.902	1.024	-0.813	1.676	1.425	0.602	-0.203	SSEI
beta1_pH	15	3	96,321,879,396.135	5.461	0.219	4,724,958.226	1.291	5,255,918,715,023.581	0.018	SSEI
beta1_pH	15	4	1.055	0.935	0.139	2.750	1.426	0.663	0.181	SSEI
beta2_yellow	15		-10.943	-10.017	-23.071	-0.457	1.891	6.912	-0.134	SSEI
beta0_pH	16	4	0.832	0.942	-0.842	1.939	1.167	0.699	-0.157	SSEO
beta1_pH	16	3	106,353,130.043	5.522	0.220	1,912,025.011	1.249	2,760,063,380.380	0.039	SSEO
beta1_pH	16	4	3.676	3.594	2.450	5.440	1.147	0.755	0.109	SSEO
beta3_pH	16	4	41.314	41.325	40.266	42.450	1.859	0.565	-0.019	SSEO
beta0_pelagic	16		-0.423	-0.326	-1.361	0.074	1.136	0.383	-0.253	SSEO
beta0_dsr	16		0.163	0.163	0.130	0.193	1.122	0.016	0.000	SSEO
mu_beta1_pH	3	4	4.013	2.214	0.062	17.932	1.207	4.759	0.378	PWSI
tau_beta1_pH	3	4	0.660	0.080	0.011	4.792	1.326	1.735	0.334	PWSI
beta4_pelagic	5		0.960	0.619	-6.189	13.786	1.164	8.544	0.040	BSAI
beta4_pelagic	6		2.070	1.318	-2.951	14.694	1.132	7.133	0.105	SOKO2SAP
beta0_pH	8	1	-0.670	-0.619	-1.608	-0.066	1.160	0.375	-0.136	afognak
beta1_pH	9	1	2.110	1.950	1.243	4.142	1.143	0.680	0.235	eastside
beta2_pH	9	3	0.198	0.164	0.083	0.460	1.122	0.226	0.151	eastside
lambda_H	15		0.019	0.014	0.003	0.058	1.130	0.030	0.168	SSEI
pG	4	30	0.853	0.871	0.623	0.969	1.109	0.095	-0.190	PWSO

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	538.00	262.00	1,117.00	375.00
Prop. of total	0.67	0.33	0.75	0.25
Prop. median less than 1	0.21	0.23	0.27	0.44
Prop. median less than 10	0.34	0.57	0.47	0.72
Prop. median less than 50	0.46	0.76	0.61	0.80
Median of the median values	77.14	7.35	13.84	1.70
Mean of the median values	760.21	236.40	314.45	140.10
Mean skew of posteriors	0.24	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	15.00	12.00	61.00	48.00
Prop. of total	0.56	0.44	0.56	0.44
Prop. median less than 1	0.07	0.42	0.69	0.60
Prop. median less than 10	0.07	0.92	0.82	0.92
Prop. median less than 50	0.13	1.00	0.84	0.96
Median of the median values	551.34	1.12	0.01	0.49
Mean of the median values	635.16	5.96	85.59	4.80
Mean skew of posteriors	0.20	0.21	0.15	0.18

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_dsr	1
beta0_pelagic	1
beta0_pH	8
beta1_pH	13
beta2_pH	1
beta2_yellow	2
beta3_pH	2
beta4_pelagic	2
eps_dsr	2
eps_pH	25
eps_sl	2
H_ay	5
H_ayg	1
H_ayu	6
Hb_ay	5
Hb_ayu	6
Hd_ay	1
Hd_ayg	2
Ho_ay	2
Ho_ayu	4
Hp_ay	7
Hp_ayg	1
Hp_ayu	6
Hs_ay	2
Hs_ayg	3
Hs_ayu	1
Hy_ay	4
Hy_ayg	3
Hy_ayu	4
lambda_H	1
mean_eps_pH	1
mu_beta1_pH	1
p_dsr	2
p_pelagic	2
p_slope	4
pH	18
R_ay	4
R_ayg	6
R_ayu	8
Rb_ay	4
Rb_ayg	5
Rb_ayu	5
Rd_ay	9
Rd_ayg	7
Rd_ayu	5
re_dsr	3
re_pH	26
re_slope	4
Ro_ay	14
Ro_ayg	10
Ro_ayu	34
Rp_ay	4
Rp_ayg	5
Rp_ayu	5
Rs_ay	8
Rs_ayg	17
Rs_ayu	16
Ry_ay	10
Ry_ayg	3
Ry_ayu	22
sd_pH	1
tau_beta1_pH	1
tau_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.014	0.069	-0.146	-0.016	0.128
mu_bc_H[2]	0.075	0.055	-0.027	0.073	0.190
mu_bc_H[3]	-0.265	0.067	-0.394	-0.267	-0.130
mu_bc_H[4]	-0.923	0.180	-1.287	-0.919	-0.573
mu_bc_H[5]	1.338	1.173	0.103	1.082	4.120
mu_bc_H[6]	-2.388	0.329	-3.010	-2.387	-1.736
mu_bc_H[7]	-0.455	0.099	-0.648	-0.455	-0.264
mu_bc_H[8]	0.257	0.355	-0.340	0.212	1.088
mu_bc_H[9]	-0.246	0.124	-0.489	-0.249	0.001
mu_bc_H[10]	0.057	0.067	-0.067	0.055	0.192
mu_bc_H[11]	-0.127	0.038	-0.206	-0.127	-0.053
mu_bc_H[12]	-0.249	0.107	-0.480	-0.244	-0.051
mu_bc_H[13]	-0.161	0.072	-0.297	-0.163	-0.013
mu_bc_H[14]	-0.307	0.090	-0.489	-0.303	-0.135
mu_bc_H[15]	-0.338	0.048	-0.429	-0.338	-0.246
mu_bc_H[16]	-0.143	0.366	-0.751	-0.175	0.686
mu_bc_R[1]	1.042	0.121	0.804	1.044	1.278
mu_bc_R[2]	1.014	0.075	0.855	1.017	1.155
mu_bc_R[3]	0.226	0.091	0.038	0.229	0.397
mu_bc_R[4]	0.675	0.198	0.273	0.679	1.062
mu_bc_R[5]	1.683	0.375	0.926	1.677	2.421
mu_bc_R[6]	-1.426	0.345	-2.102	-1.432	-0.728
mu_bc_R[7]	0.519	0.168	0.184	0.520	0.838
mu_bc_R[8]	0.644	0.146	0.364	0.642	0.935
mu_bc_R[9]	0.380	0.175	0.010	0.386	0.699
mu_bc_R[10]	0.887	0.106	0.670	0.888	1.089
mu_bc_R[11]	1.111	0.075	0.965	1.112	1.257
mu_bc_R[12]	0.881	0.160	0.563	0.881	1.199
mu_bc_R[13]	1.042	0.091	0.863	1.042	1.222
mu_bc_R[14]	0.861	0.122	0.612	0.861	1.097
mu_bc_R[15]	0.797	0.095	0.611	0.797	0.985
mu_bc_R[16]	1.349	0.112	1.118	1.351	1.562
tau_pH[1]	2.447	0.183	2.105	2.444	2.825
tau_pH[2]	1.563	0.149	1.289	1.556	1.862
tau_pH[3]	2.266	0.300	1.724	2.246	2.916
tau_pH[4]	1.013	0.145	0.759	1.003	1.327
tau_pH[5]	0.411	0.074	0.282	0.406	0.571
beta0_pH[1,1]	0.548	0.187	0.147	0.560	0.880
beta0_pH[2,1]	1.432	0.184	1.023	1.446	1.758
beta0_pH[3,1]	1.417	0.206	0.931	1.433	1.778
beta0_pH[4,1]	1.568	0.255	0.974	1.593	1.997
beta0_pH[5,1]	-0.798	0.373	-1.671	-0.758	-0.164
beta0_pH[6,1]	-0.552	0.459	-1.907	-0.452	0.041
beta0_pH[7,1]	0.752	0.010	0.732	0.753	0.773
beta0_pH[8,1]	-0.670	0.375	-1.608	-0.619	-0.066
beta0_pH[9,1]	-0.371	0.310	-1.044	-0.336	0.142
beta0_pH[10,1]	0.226	0.261	-0.466	0.257	0.642
beta0_pH[11,1]	0.096	0.313	-0.626	0.144	0.596
beta0_pH[12,1]	0.630	0.191	0.241	0.640	0.979
beta0_pH[13,1]	-0.643	0.137	-0.922	-0.643	-0.376
beta0_pH[14,1]	0.022	0.185	-0.354	0.027	0.369
beta0_pH[15,1]	0.059	0.186	-0.356	0.073	0.393
beta0_pH[16,1]	-0.840	0.208	-1.301	-0.827	-0.459
beta0_pH[1,2]	2.568	0.082	2.415	2.568	2.733
beta0_pH[2,2]	3.078	0.022	3.034	3.078	3.121
beta0_pH[3,2]	3.626	0.040	3.546	3.628	3.706
beta0_pH[4,2]	2.936	0.019	2.899	2.936	2.974
beta0_pH[5,2]	4.575	1.647	2.779	4.251	8.405
beta0_pH[6,2]	3.329	0.159	3.023	3.324	3.656
beta0_pH[7,2]	2.025	0.049	1.934	2.025	2.124
beta0_pH[8,2]	2.822	0.065	2.696	2.821	2.952
beta0_pH[9,2]	3.972	0.207	3.582	3.958	4.396
beta0_pH[10,2]	3.996	0.130	3.750	3.991	4.261
beta0_pH[11,2]	1.885	0.009	1.868	1.885	1.903
beta0_pH[12,2]	1.793	0.069	1.661	1.792	1.929
beta0_pH[13,2]	2.497	0.026	2.445	2.497	2.548
beta0_pH[14,2]	1.804	0.024	1.759	1.803	1.852
beta0_pH[15,2]	2.546	0.017	2.513	2.545	2.579
beta0_pH[16,2]	2.765	0.024	2.719	2.766	2.814
beta0_pH[1,3]	0.663	0.603	-0.912	0.814	1.370
beta0_pH[2,3]	2.126	0.018	2.093	2.126	2.161
beta0_pH[3,3]	2.689	0.024	2.640	2.689	2.737
beta0_pH[4,3]	2.981	0.035	2.913	2.980	3.049
beta0_pH[5,3]	3.840	2.714	0.949	3.077	11.588
beta0_pH[6,3]	1.260	0.322	0.689	1.238	1.930
beta0_pH[7,3]	0.855	0.049	0.760	0.855	0.952
beta0_pH[8,3]	0.281	0.127	0.008	0.289	0.498
beta0_pH[9,3]	-2.750	1.030	-4.965	-2.663	-0.972
beta0_pH[10,3]	-0.849	0.880	-2.902	-0.740	0.570
beta0_pH[11,3]	-0.062	11.360	-22.154	-0.103	22.038
beta0_pH[12,3]	-0.164	11.478	-22.604	-0.111	23.011
beta0_pH[13,3]	0.096	11.548	-22.995	-0.151	22.990
beta0_pH[14,3]	-0.139	11.551	-23.067	-0.237	22.964
beta0_pH[15,3]	0.059	11.362	-22.520	0.202	22.198
beta0_pH[16,3]	0.048	11.371	-21.941	-0.040	22.770
beta0_pH[11,4]	0.884	0.712	-0.972	1.014	2.018
beta0_pH[12,4]	0.962	0.772	-0.882	1.030	2.301
beta0_pH[13,4]	1.085	0.650	-0.785	1.270	1.776
beta0_pH[14,4]	0.402	0.638	-0.916	0.511	1.496
beta0_pH[15,4]	0.902	0.602	-0.813	1.024	1.676
beta0_pH[16,4]	0.832	0.699	-0.842	0.942	1.939
beta0_pH[11,5]	2.974	0.147	2.707	2.968	3.281
beta0_pH[12,5]	-0.930	0.516	-2.008	-0.914	0.084
beta0_pH[13,5]	4.955	0.432	4.172	4.926	5.862
beta0_pH[14,5]	3.921	0.363	3.227	3.912	4.666
beta0_pH[15,5]	2.294	0.125	2.052	2.290	2.555
beta0_pH[16,5]	0.248	0.060	0.161	0.236	0.387
beta1_pH[1,1]	2.622	0.539	1.780	2.535	3.957
beta1_pH[2,1]	1.598	0.358	1.051	1.552	2.431
beta1_pH[3,1]	1.777	0.392	1.111	1.738	2.723
beta1_pH[4,1]	1.953	0.499	1.210	1.866	3.298
beta1_pH[5,1]	2.321	0.492	1.516	2.263	3.501
beta1_pH[6,1]	2.229	0.835	1.088	2.022	4.416
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.474	0.834	1.283	2.289	4.601
beta1_pH[9,1]	2.110	0.680	1.243	1.950	4.142
beta1_pH[10,1]	2.270	0.596	1.535	2.148	4.229
beta1_pH[11,1]	3.300	0.500	2.546	3.232	4.584
beta1_pH[12,1]	2.894	0.282	2.353	2.886	3.459
beta1_pH[13,1]	3.436	0.234	2.977	3.428	3.898
beta1_pH[14,1]	2.834	0.342	2.190	2.829	3.558
beta1_pH[15,1]	2.390	0.271	1.881	2.381	2.964
beta1_pH[16,1]	3.976	0.289	3.437	3.971	4.592
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.560	1.785	1.226	3.045	7.842
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	5.003	2.310	2.192	4.256	11.102
beta1_pH[9,3]	8.182	2.516	4.081	7.888	13.754
beta1_pH[10,3]	7.183	2.720	3.208	6.675	13.162
beta1_pH[11,3]	15175302054.951	824028935930.384	0.223	5.424	1393120.825
beta1_pH[12,3]	1480907876.560	53034823727.309	0.228	6.151	2478799.548
beta1_pH[13,3]	269547807.234	10849390995.622	0.218	6.513	3541317.920
beta1_pH[14,3]	26481411861.052	1391709173602.750	0.222	5.606	3620182.913
beta1_pH[15,3]	96321879396.135	5255918715023.581	0.219	5.461	4724958.226
beta1_pH[16,3]	106353130.043	2760063380.380	0.220	5.522	1912025.011
beta1_pH[11,4]	1.886	0.760	0.536	1.799	3.766
beta1_pH[12,4]	3.138	0.788	1.702	3.078	5.043
beta1_pH[13,4]	0.870	0.681	0.121	0.679	2.767
beta1_pH[14,4]	1.951	0.732	0.584	1.860	3.398
beta1_pH[15,4]	1.055	0.663	0.139	0.935	2.750
beta1_pH[16,4]	3.676	0.755	2.450	3.594	5.440
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.238	0.886	0.294	0.901	3.391
beta2_pH[2,1]	1.610	0.979	0.208	1.432	3.436
beta2_pH[3,1]	1.406	0.843	0.222	1.252	2.949
beta2_pH[4,1]	1.078	0.793	0.199	0.791	2.913
beta2_pH[5,1]	2.109	1.789	0.248	1.642	7.181
beta2_pH[6,1]	0.863	1.335	0.109	0.372	4.936
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.681	1.138	0.126	0.312	4.312
beta2_pH[9,1]	0.944	1.235	0.141	0.526	4.559
beta2_pH[10,1]	1.225	1.313	0.162	0.797	5.289
beta2_pH[11,1]	0.456	0.262	0.179	0.390	1.095
beta2_pH[12,1]	1.580	0.823	0.618	1.316	3.653
beta2_pH[13,1]	1.040	0.441	0.558	0.929	2.305
beta2_pH[14,1]	1.151	0.679	0.419	0.944	3.237
beta2_pH[15,1]	1.078	0.606	0.410	0.916	2.938
beta2_pH[16,1]	1.064	0.333	0.629	1.000	1.904
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.325	4.271	0.109	0.454	16.584
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.114	1.690	0.571	1.427	6.907
beta2_pH[9,3]	0.198	0.226	0.083	0.164	0.460
beta2_pH[10,3]	0.306	0.375	0.102	0.230	0.844
beta2_pH[11,3]	-8.475	6.097	-22.797	-7.315	-0.474
beta2_pH[12,3]	-8.453	6.092	-22.888	-7.126	-0.432
beta2_pH[13,3]	-8.355	6.006	-22.742	-6.957	-0.451
beta2_pH[14,3]	-8.464	6.111	-23.151	-7.231	-0.401
beta2_pH[15,3]	-8.364	6.005	-22.685	-7.167	-0.436
beta2_pH[16,3]	-8.517	6.066	-22.764	-7.324	-0.444
beta2_pH[11,4]	-6.876	5.001	-18.692	-5.763	-0.747
beta2_pH[12,4]	-7.121	4.917	-18.748	-6.032	-1.049
beta2_pH[13,4]	-6.884	4.809	-18.234	-5.728	-0.936
beta2_pH[14,4]	-6.915	4.836	-18.377	-5.717	-1.052
beta2_pH[15,4]	-7.031	4.893	-18.192	-5.786	-0.980
beta2_pH[16,4]	-7.252	4.814	-18.970	-6.003	-1.423
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	35.063	1.170	32.922	35.046	37.665
beta3_pH[2,1]	32.857	1.474	29.981	32.825	36.123
beta3_pH[3,1]	33.110	1.390	30.486	33.039	36.249
beta3_pH[4,1]	32.876	1.827	29.899	32.696	37.161
beta3_pH[5,1]	27.613	1.144	26.028	27.480	30.787
beta3_pH[6,1]	33.331	3.325	26.373	33.135	41.258
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.186	3.395	29.341	35.172	42.082
beta3_pH[9,1]	32.013	2.896	27.367	31.687	38.940
beta3_pH[10,1]	32.669	1.645	30.067	32.508	36.510
beta3_pH[11,1]	31.343	1.125	29.287	31.357	33.579
beta3_pH[12,1]	30.783	0.475	29.804	30.796	31.675
beta3_pH[13,1]	31.430	0.509	30.495	31.406	32.470
beta3_pH[14,1]	32.544	0.749	31.260	32.501	34.137
beta3_pH[15,1]	30.940	0.740	29.485	30.953	32.356
beta3_pH[16,1]	30.122	0.369	29.378	30.116	30.853
beta3_pH[1,2]	34.544	5.400	25.516	34.595	43.492
beta3_pH[2,2]	34.520	5.474	25.464	34.389	43.525
beta3_pH[3,2]	30.495	7.157	18.660	30.407	42.237
beta3_pH[4,2]	30.484	7.160	18.767	30.282	42.227
beta3_pH[5,2]	30.340	7.275	18.600	30.409	42.307
beta3_pH[6,2]	30.237	7.312	18.494	30.428	42.243
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.890	2.561	33.593	40.200	43.767
beta3_pH[2,3]	34.429	5.449	25.455	34.426	43.419
beta3_pH[3,3]	30.427	7.261	18.676	30.325	42.314
beta3_pH[4,3]	30.543	7.233	18.647	30.521	42.443
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.202	0.839	40.989	41.975	43.868
beta3_pH[9,3]	35.898	1.629	34.521	35.279	40.583
beta3_pH[10,3]	37.851	2.538	34.635	37.221	43.455
beta3_pH[11,3]	38.520	2.614	34.223	38.570	42.765
beta3_pH[12,3]	38.493	2.587	34.230	38.480	42.796
beta3_pH[13,3]	38.570	2.615	34.243	38.600	42.793
beta3_pH[14,3]	38.454	2.609	34.200	38.404	42.747
beta3_pH[15,3]	38.447	2.591	34.263	38.426	42.800
beta3_pH[16,3]	38.423	2.605	34.221	38.416	42.784
beta3_pH[11,4]	40.603	1.233	38.216	40.527	43.253
beta3_pH[12,4]	41.737	0.850	40.211	42.040	42.931
beta3_pH[13,4]	41.467	1.521	37.847	41.697	43.819
beta3_pH[14,4]	40.468	0.871	38.580	40.541	41.979
beta3_pH[15,4]	40.963	1.346	37.872	40.954	43.452
beta3_pH[16,4]	41.314	0.565	40.266	41.325	42.450
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.221	0.262	0.304
beta4_pH[2,1]	0.211	0.005	0.200	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.158	0.173	0.187
beta4_pH[4,1]	0.293	0.012	0.271	0.293	0.316
beta4_pH[5,1]	0.413	0.230	0.084	0.387	0.874
beta4_pH[6,1]	0.766	0.364	0.317	0.728	1.426
beta4_pH[7,1]	0.851	0.344	0.355	0.792	1.726
beta4_pH[8,1]	0.157	0.068	0.041	0.150	0.306
beta4_pH[9,1]	0.215	0.085	0.064	0.212	0.397
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.423	0.446	0.469
beta4_pH[12,1]	0.643	0.022	0.599	0.643	0.686
beta4_pH[13,1]	0.631	0.013	0.606	0.631	0.657
beta4_pH[14,1]	0.670	0.032	0.610	0.669	0.735
beta4_pH[15,1]	0.796	0.021	0.755	0.796	0.839
beta4_pH[16,1]	1.223	0.043	1.142	1.222	1.314
beta4_pH[1,2]	0.301	0.095	0.130	0.295	0.493
beta4_pH[2,2]	0.514	0.022	0.472	0.513	0.558
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.470
beta4_pH[4,2]	0.655	0.038	0.585	0.654	0.732
beta4_pH[5,2]	0.737	0.830	0.115	0.536	2.670
beta4_pH[6,2]	0.901	0.799	0.197	0.735	2.579
beta4_pH[7,2]	0.908	0.456	0.351	0.821	2.041
beta4_pH[8,2]	0.846	0.205	0.495	0.833	1.283
beta4_pH[9,2]	1.139	1.021	0.304	0.852	3.853
beta4_pH[10,2]	0.458	0.052	0.362	0.456	0.563
beta4_pH[11,2]	1.269	0.050	1.169	1.269	1.364
beta4_pH[12,2]	0.605	0.111	0.399	0.598	0.835
beta4_pH[13,2]	0.946	0.044	0.860	0.946	1.036
beta4_pH[14,2]	0.935	0.062	0.814	0.936	1.060
beta4_pH[15,2]	1.012	0.025	0.963	1.012	1.062
beta4_pH[16,2]	1.408	0.077	1.262	1.407	1.562
beta4_pH[1,3]	0.242	0.076	0.101	0.239	0.402
beta4_pH[2,3]	0.049	0.017	0.018	0.048	0.085
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.071
beta4_pH[4,3]	0.165	0.030	0.107	0.165	0.226
beta4_pH[5,3]	0.751	0.768	0.130	0.574	2.480
beta4_pH[6,3]	0.881	0.741	0.219	0.711	2.542
beta4_pH[7,3]	0.888	0.419	0.347	0.810	1.852
beta4_pH[8,3]	0.390	0.187	0.102	0.365	0.843
beta4_pH[9,3]	0.914	0.901	0.167	0.687	2.868
beta4_pH[10,3]	0.055	0.038	0.004	0.049	0.142
beta4_pH[11,3]	0.642	0.245	0.300	0.600	1.216
beta4_pH[12,3]	0.697	0.218	0.371	0.662	1.239
beta4_pH[13,3]	0.711	0.179	0.416	0.694	1.105
beta4_pH[14,3]	0.868	0.221	0.511	0.842	1.374
beta4_pH[15,3]	0.815	0.218	0.463	0.789	1.332
beta4_pH[16,3]	1.439	1.944	0.122	0.874	6.484
beta4_pH[1,4]	0.643	0.387	0.200	0.558	1.619
beta4_pH[2,4]	0.829	0.926	0.106	0.585	3.001
beta4_pH[3,4]	0.865	0.951	0.115	0.596	3.453
beta4_pH[4,4]	0.734	0.473	0.211	0.628	1.898
beta4_pH[5,4]	0.783	0.961	0.112	0.567	2.814
beta4_pH[6,4]	0.916	0.857	0.207	0.735	2.671
beta4_pH[7,4]	0.879	0.397	0.346	0.805	1.805
beta4_pH[8,4]	0.729	0.692	0.148	0.577	2.250
beta4_pH[9,4]	0.744	0.811	0.123	0.545	2.524
beta4_pH[10,4]	1.481	3.060	0.007	0.411	11.279
beta4_pH[11,4]	0.445	0.017	0.413	0.445	0.479
beta4_pH[12,4]	0.569	0.053	0.467	0.567	0.674
beta4_pH[13,4]	0.925	0.036	0.855	0.926	0.995
beta4_pH[14,4]	0.922	0.076	0.786	0.917	1.077
beta4_pH[15,4]	0.715	0.020	0.676	0.715	0.754
beta4_pH[16,4]	0.688	0.041	0.610	0.688	0.774
beta4_pH[1,5]	0.637	0.381	0.203	0.552	1.583
beta4_pH[2,5]	0.804	0.879	0.113	0.574	2.840
beta4_pH[3,5]	0.867	0.976	0.112	0.612	3.058
beta4_pH[4,5]	0.728	0.447	0.215	0.624	1.858
beta4_pH[5,5]	0.733	0.782	0.108	0.547	2.484
beta4_pH[6,5]	0.924	0.834	0.220	0.737	2.714
beta4_pH[7,5]	0.899	0.451	0.350	0.815	1.941
beta4_pH[8,5]	0.746	0.816	0.155	0.578	2.117
beta4_pH[9,5]	0.757	0.717	0.118	0.564	2.652
beta4_pH[10,5]	1.339	2.701	0.008	0.377	9.662
beta4_pH[11,5]	0.605	0.053	0.508	0.603	0.712
beta4_pH[12,5]	0.621	0.170	0.326	0.603	1.002
beta4_pH[13,5]	0.769	0.061	0.657	0.767	0.896
beta4_pH[14,5]	0.849	0.120	0.622	0.839	1.096
beta4_pH[15,5]	1.143	0.074	1.006	1.141	1.296
beta4_pH[16,5]	19.079	3.755	11.355	19.572	24.707
beta0_pelagic[1]	2.269	0.036	2.199	2.268	2.342
beta0_pelagic[2]	1.538	0.007	1.525	1.537	1.551
beta0_pelagic[3]	0.194	0.263	-0.445	0.259	0.569
beta0_pelagic[4]	0.198	0.238	-0.437	0.216	0.609
beta0_pelagic[5]	1.443	0.153	1.152	1.441	1.746
beta0_pelagic[6]	1.354	0.061	1.239	1.353	1.478
beta0_pelagic[7]	1.470	0.039	1.397	1.469	1.551
beta0_pelagic[8]	1.671	0.043	1.589	1.670	1.762
beta0_pelagic[9]	2.777	0.064	2.657	2.775	2.910
beta0_pelagic[10]	2.603	0.031	2.544	2.602	2.663
beta0_pelagic[11]	-0.141	0.170	-0.507	-0.136	0.159
beta0_pelagic[12]	1.801	0.036	1.733	1.800	1.875
beta0_pelagic[13]	-1.277	0.533	-1.974	-1.381	-0.218
beta0_pelagic[14]	-0.283	0.175	-0.663	-0.269	0.004
beta0_pelagic[15]	-0.212	0.036	-0.300	-0.197	-0.180
beta0_pelagic[16]	-0.423	0.383	-1.361	-0.326	0.074
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.754	0.274	0.314	0.712	1.427
beta1_pelagic[4]	0.850	0.261	0.383	0.837	1.531
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.147	0.235	0.717	1.150	1.635
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.182	0.836	1.621	3.215	4.801
beta1_pelagic[14]	1.804	0.443	1.161	1.715	2.908
beta1_pelagic[15]	0.119	0.190	0.000	0.018	0.651
beta1_pelagic[16]	1.508	0.549	0.735	1.417	2.709
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.246	5.940	0.231	4.558	21.459
beta2_pelagic[4]	7.746	6.213	0.358	6.335	22.534
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.807	1.529	0.291	1.310	5.953
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.162	0.076	0.078	0.143	0.363
beta2_pelagic[14]	0.842	0.830	0.202	0.589	3.351
beta2_pelagic[15]	2.616	1.863	0.170	2.242	6.942
beta2_pelagic[16]	0.868	1.093	0.130	0.396	4.316
beta3_pelagic[1]	28.803	3.913	22.361	28.846	35.163
beta3_pelagic[2]	28.763	3.922	22.355	28.652	35.203
beta3_pelagic[3]	27.986	2.836	23.260	28.378	33.054
beta3_pelagic[4]	25.998	1.350	23.000	26.250	28.238
beta3_pelagic[5]	29.656	6.572	18.611	29.993	40.483
beta3_pelagic[6]	29.580	6.636	18.575	29.674	40.331
beta3_pelagic[7]	29.782	6.572	18.636	29.949	40.434
beta3_pelagic[8]	29.307	6.627	18.663	28.959	40.476
beta3_pelagic[9]	29.576	6.538	18.647	29.729	40.387
beta3_pelagic[10]	29.205	6.728	18.546	28.952	40.466
beta3_pelagic[11]	30.081	1.191	27.869	30.023	32.681
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	30.251	3.785	24.116	29.799	39.285
beta3_pelagic[14]	34.300	1.828	31.324	34.026	38.886
beta3_pelagic[15]	34.406	5.940	23.551	35.692	41.769
beta3_pelagic[16]	31.289	2.527	26.301	31.212	36.957
beta0_yellow[1]	-0.483	0.079	-0.642	-0.486	-0.324
beta0_yellow[2]	0.544	0.084	0.348	0.551	0.682
beta0_yellow[3]	-0.209	0.130	-0.468	-0.209	0.011
beta0_yellow[4]	0.911	0.227	0.353	0.968	1.192
beta0_yellow[5]	0.243	0.333	-0.480	0.260	0.818
beta0_yellow[6]	0.821	0.106	0.616	0.819	1.037
beta0_yellow[7]	1.015	0.100	0.821	1.015	1.214
beta0_yellow[8]	1.018	0.095	0.842	1.015	1.203
beta0_yellow[9]	0.442	0.099	0.244	0.443	0.637
beta0_yellow[10]	0.540	0.072	0.402	0.539	0.685
beta0_yellow[11]	-0.205	0.129	-0.479	-0.191	0.008
beta0_yellow[12]	-1.082	0.092	-1.264	-1.082	-0.900
beta0_yellow[13]	-1.348	0.175	-1.719	-1.335	-1.059
beta0_yellow[14]	-0.256	0.155	-0.586	-0.241	-0.008
beta0_yellow[15]	-1.243	0.129	-1.546	-1.227	-1.029
beta0_yellow[16]	-0.245	0.094	-0.425	-0.247	-0.059
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.003	0.238	0.557	0.994	1.483
beta1_yellow[3]	0.462	0.244	0.018	0.475	0.908
beta1_yellow[4]	1.276	0.554	0.612	1.152	2.963
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.315	0.373	0.001	0.135	1.221
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.559	1.514	0.027	0.943	5.742
beta1_yellow[14]	0.726	0.938	0.012	0.463	3.788
beta1_yellow[15]	0.149	0.180	0.011	0.076	0.608
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.624	5.758	-21.684	-6.372	-0.436
beta2_yellow[3]	-7.616	5.952	-22.738	-6.086	-0.410
beta2_yellow[4]	-5.955	5.917	-20.575	-4.259	-0.139
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.751	5.783	-21.604	-6.468	-0.443
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.497	5.241	-18.712	-3.689	-0.323
beta2_yellow[14]	-5.601	4.983	-18.553	-4.102	-0.306
beta2_yellow[15]	-10.943	6.912	-23.071	-10.017	-0.457
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.924	1.214	27.281	28.674	32.353
beta3_yellow[3]	32.485	3.257	23.582	32.685	38.760
beta3_yellow[4]	30.008	3.246	24.319	28.954	35.719
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	34.864	3.637	30.394	33.789	43.359
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	32.931	2.866	29.129	32.878	39.546
beta3_yellow[14]	33.973	3.644	29.175	33.476	42.968
beta3_yellow[15]	36.457	3.799	30.288	36.199	43.649
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.008	0.077	-0.141	0.006	0.170
beta0_black[2]	1.855	0.031	1.792	1.855	1.918
beta0_black[3]	1.238	0.037	1.165	1.239	1.312
beta0_black[4]	2.425	0.048	2.334	2.424	2.522
beta0_black[5]	5.206	2.404	1.926	4.716	11.000
beta0_black[6]	5.234	2.133	2.661	4.699	11.085
beta0_black[7]	4.102	2.057	1.580	3.575	9.571
beta0_black[8]	0.895	0.218	0.494	0.887	1.352
beta0_black[9]	2.798	0.268	2.292	2.799	3.336
beta0_black[10]	1.289	0.051	1.189	1.287	1.390
beta0_black[11]	2.980	0.050	2.880	2.980	3.079
beta0_black[12]	4.916	0.188	4.545	4.913	5.290
beta0_black[13]	0.425	0.331	0.017	0.344	1.221
beta0_black[14]	2.852	0.108	2.641	2.849	3.060
beta0_black[15]	0.723	0.052	0.618	0.724	0.823
beta0_black[16]	3.773	0.072	3.636	3.773	3.916
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.545	1.776	-6.926	-2.120	-0.289
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.436	3.143	27.919	38.150	40.824
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.324	0.094	-0.509	-0.323	-0.142
beta4_black[2]	0.259	0.053	0.158	0.258	0.364
beta4_black[3]	-0.718	0.064	-0.839	-0.719	-0.591
beta4_black[4]	0.632	0.132	0.379	0.631	0.897
beta4_black[5]	0.753	1.493	-1.230	0.476	4.047
beta4_black[6]	0.837	1.480	-0.962	0.544	4.120
beta4_black[7]	0.758	1.420	-1.024	0.499	4.238
beta4_black[8]	0.077	0.283	-0.512	0.091	0.600
beta4_black[9]	1.020	0.811	-0.123	0.859	3.044
beta4_black[10]	0.072	0.067	-0.062	0.072	0.202
beta4_black[11]	-0.611	0.063	-0.733	-0.611	-0.487
beta4_black[12]	1.235	0.296	0.689	1.224	1.840
beta4_black[13]	-1.004	0.076	-1.158	-1.002	-0.863
beta4_black[14]	0.220	0.182	-0.123	0.213	0.588
beta4_black[15]	0.002	0.047	-0.091	0.003	0.093
beta4_black[16]	-0.417	0.118	-0.645	-0.417	-0.183
beta0_dsr[11]	-0.329	0.009	-0.348	-0.329	-0.311
beta0_dsr[12]	1.409	0.044	1.322	1.408	1.496
beta0_dsr[13]	0.155	0.021	0.114	0.155	0.196
beta0_dsr[14]	-0.127	0.017	-0.160	-0.127	-0.094
beta0_dsr[15]	0.205	0.014	0.179	0.205	0.232
beta0_dsr[16]	0.163	0.016	0.130	0.163	0.193
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.544	0.035	0.475	0.544	0.613
beta4_dsr[12]	0.808	0.228	0.377	0.802	1.265
beta4_dsr[13]	-0.079	0.039	-0.153	-0.079	-0.005
beta4_dsr[14]	-0.207	0.071	-0.350	-0.206	-0.072
beta4_dsr[15]	0.216	0.022	0.173	0.216	0.258
beta4_dsr[16]	-0.053	0.046	-0.142	-0.055	0.038
beta0_slope[11]	-2.208	0.021	-2.249	-2.209	-2.166
beta0_slope[12]	-4.978	0.187	-5.360	-4.974	-4.625
beta0_slope[13]	-1.500	0.033	-1.567	-1.499	-1.437
beta0_slope[14]	-2.712	0.050	-2.810	-2.711	-2.618
beta0_slope[15]	-1.592	0.022	-1.637	-1.592	-1.548
beta0_slope[16]	-2.651	0.039	-2.724	-2.652	-2.570
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.334	0.074	-0.482	-0.333	-0.189
beta4_slope[12]	-4.688	0.787	-6.303	-4.648	-3.230
beta4_slope[13]	0.325	0.053	0.224	0.325	0.428
beta4_slope[14]	-0.160	0.151	-0.458	-0.159	0.133
beta4_slope[15]	-0.360	0.034	-0.425	-0.360	-0.295
beta4_slope[16]	-0.143	0.103	-0.348	-0.141	0.048
beta5_slope[11]	3.067	0.109	2.865	3.065	3.292
beta5_slope[12]	1.998	0.383	1.282	1.982	2.786
beta5_slope[13]	0.882	0.080	0.727	0.881	1.036
beta5_slope[14]	3.751	0.352	3.108	3.738	4.484
beta5_slope[15]	1.311	0.072	1.169	1.309	1.457
beta5_slope[16]	2.724	0.234	2.297	2.722	3.180
tau_comp[1]	3.769	0.298	3.209	3.752	4.386
tau_comp[2]	2.856	0.253	2.378	2.850	3.350
tau_comp[3]	0.870	0.073	0.736	0.867	1.019
tau_comp[4]	1.791	0.279	1.309	1.766	2.394
tau_comp[5]	1.272	0.186	0.931	1.266	1.664
sigma_H[1]	0.207	0.049	0.118	0.205	0.313
sigma_H[2]	0.175	0.028	0.128	0.172	0.237
sigma_H[3]	0.189	0.040	0.118	0.186	0.274
sigma_H[4]	0.461	0.079	0.329	0.455	0.634
sigma_H[5]	0.963	0.199	0.590	0.950	1.382
sigma_H[6]	0.541	0.203	0.108	0.538	0.957
sigma_H[7]	0.309	0.062	0.211	0.301	0.449
sigma_H[8]	0.416	0.090	0.246	0.408	0.613
sigma_H[9]	0.512	0.116	0.329	0.499	0.775
sigma_H[10]	0.211	0.039	0.145	0.207	0.295
sigma_H[11]	0.266	0.045	0.193	0.261	0.367
sigma_H[12]	0.380	0.146	0.197	0.336	0.716
sigma_H[13]	0.217	0.036	0.154	0.213	0.298
sigma_H[14]	0.497	0.089	0.347	0.490	0.690
sigma_H[15]	0.231	0.037	0.166	0.228	0.311
sigma_H[16]	0.215	0.041	0.145	0.211	0.307
lambda_H[1]	2.182	3.472	0.069	1.013	11.479
lambda_H[2]	5.089	4.846	0.513	3.686	17.978
lambda_H[3]	5.645	8.349	0.267	2.870	28.785
lambda_H[4]	0.006	0.004	0.001	0.005	0.018
lambda_H[5]	2.697	6.837	0.028	0.671	20.045
lambda_H[6]	10.444	20.616	0.009	0.783	80.222
lambda_H[7]	0.012	0.008	0.002	0.010	0.032
lambda_H[8]	7.946	9.807	0.111	4.565	34.406
lambda_H[9]	0.015	0.010	0.003	0.013	0.040
lambda_H[10]	0.226	0.276	0.026	0.154	0.824
lambda_H[11]	0.237	0.367	0.011	0.105	1.149
lambda_H[12]	3.814	5.137	0.163	2.153	17.451
lambda_H[13]	3.095	2.901	0.261	2.242	11.357
lambda_H[14]	3.378	3.922	0.228	2.195	13.807
lambda_H[15]	0.019	0.030	0.003	0.014	0.058
lambda_H[16]	0.469	0.730	0.030	0.243	2.317
mu_lambda_H[1]	4.058	1.939	1.047	3.797	8.485
mu_lambda_H[2]	3.863	1.974	0.574	3.714	8.176
mu_lambda_H[3]	3.414	1.830	0.743	3.143	7.499
sigma_lambda_H[1]	8.134	4.426	1.741	7.347	18.291
sigma_lambda_H[2]	8.687	4.834	0.918	8.102	18.547
sigma_lambda_H[3]	6.265	3.989	0.972	5.464	16.124
beta_H[1,1]	6.498	1.316	3.143	6.732	8.458
beta_H[2,1]	9.758	0.610	8.421	9.783	10.900
beta_H[3,1]	7.821	0.767	6.012	7.904	9.078
beta_H[4,1]	10.525	7.734	-5.283	10.658	25.071
beta_H[5,1]	-0.305	2.541	-5.828	-0.166	3.873
beta_H[6,1]	3.535	4.125	-7.008	5.020	8.203
beta_H[7,1]	1.106	5.639	-10.571	1.479	11.320
beta_H[8,1]	1.266	3.533	-2.583	1.220	3.529
beta_H[9,1]	13.575	5.673	2.790	13.373	25.328
beta_H[10,1]	6.852	1.840	3.179	6.898	10.575
beta_H[11,1]	4.863	3.571	-3.081	5.502	9.942
beta_H[12,1]	2.617	1.110	0.685	2.553	5.049
beta_H[13,1]	9.079	0.868	7.191	9.140	10.570
beta_H[14,1]	2.134	1.009	0.112	2.134	4.239
beta_H[15,1]	-7.027	3.355	-13.121	-7.186	-0.006
beta_H[16,1]	3.993	3.058	-0.797	3.527	11.141
beta_H[1,2]	7.786	0.270	7.260	7.793	8.308
beta_H[2,2]	9.881	0.162	9.541	9.883	10.187
beta_H[3,2]	8.783	0.196	8.401	8.783	9.172
beta_H[4,2]	3.020	1.463	0.288	3.012	5.987
beta_H[5,2]	1.767	0.985	-0.132	1.768	3.746
beta_H[6,2]	6.120	1.099	3.557	6.289	7.875
beta_H[7,2]	2.421	1.039	0.551	2.351	4.730
beta_H[8,2]	3.034	1.041	1.335	3.166	4.268
beta_H[9,2]	3.182	1.088	1.104	3.182	5.308
beta_H[10,2]	8.030	0.365	7.286	8.044	8.733
beta_H[11,2]	9.828	0.645	8.843	9.721	11.270
beta_H[12,2]	3.930	0.362	3.257	3.926	4.678
beta_H[13,2]	9.155	0.236	8.705	9.151	9.625
beta_H[14,2]	4.014	0.343	3.348	4.014	4.695
beta_H[15,2]	11.546	0.609	10.286	11.587	12.693
beta_H[16,2]	4.487	0.829	2.978	4.474	6.169
beta_H[1,3]	8.438	0.259	7.959	8.438	8.949
beta_H[2,3]	9.860	0.147	9.575	9.858	10.156
beta_H[3,3]	9.460	0.165	9.150	9.454	9.793
beta_H[4,3]	-2.163	0.863	-3.853	-2.149	-0.506
beta_H[5,3]	3.888	0.605	2.623	3.892	5.105
beta_H[6,3]	8.271	1.135	6.725	7.930	10.748
beta_H[7,3]	-2.568	0.616	-3.812	-2.567	-1.345
beta_H[8,3]	5.289	0.482	4.697	5.225	6.287
beta_H[9,3]	-2.709	0.696	-4.081	-2.717	-1.379
beta_H[10,3]	8.543	0.286	7.990	8.539	9.124
beta_H[11,3]	8.505	0.296	7.872	8.529	9.026
beta_H[12,3]	5.264	0.326	4.492	5.307	5.804
beta_H[13,3]	8.863	0.174	8.502	8.864	9.198
beta_H[14,3]	5.791	0.264	5.224	5.814	6.262
beta_H[15,3]	10.284	0.295	9.714	10.275	10.884
beta_H[16,3]	5.885	0.612	4.666	5.901	6.986
beta_H[1,4]	8.089	0.186	7.697	8.099	8.431
beta_H[2,4]	9.850	0.128	9.593	9.853	10.097
beta_H[3,4]	9.947	0.154	9.622	9.960	10.223
beta_H[4,4]	11.795	0.467	10.892	11.805	12.697
beta_H[5,4]	5.591	0.734	4.371	5.517	7.246
beta_H[6,4]	7.259	0.909	5.306	7.533	8.518
beta_H[7,4]	8.537	0.338	7.835	8.543	9.173
beta_H[8,4]	6.728	0.247	6.257	6.739	7.160
beta_H[9,4]	7.423	0.443	6.547	7.421	8.299
beta_H[10,4]	7.532	0.233	7.079	7.525	7.980
beta_H[11,4]	9.508	0.197	9.126	9.509	9.905
beta_H[12,4]	7.247	0.199	6.865	7.241	7.674
beta_H[13,4]	9.063	0.141	8.773	9.067	9.329
beta_H[14,4]	7.838	0.211	7.431	7.836	8.265
beta_H[15,4]	9.474	0.221	9.040	9.475	9.897
beta_H[16,4]	9.444	0.246	8.982	9.433	9.943
beta_H[1,5]	8.896	0.150	8.589	8.901	9.182
beta_H[2,5]	10.677	0.099	10.495	10.675	10.881
beta_H[3,5]	10.752	0.160	10.463	10.743	11.081
beta_H[4,5]	8.355	0.486	7.432	8.353	9.371
beta_H[5,5]	5.201	0.611	3.706	5.269	6.198
beta_H[6,5]	8.893	0.609	7.954	8.766	10.275
beta_H[7,5]	6.571	0.338	5.943	6.566	7.259
beta_H[8,5]	8.247	0.206	7.909	8.234	8.666
beta_H[9,5]	8.203	0.448	7.312	8.212	9.078
beta_H[10,5]	10.044	0.230	9.583	10.045	10.497
beta_H[11,5]	11.596	0.224	11.152	11.599	12.076
beta_H[12,5]	8.604	0.189	8.231	8.602	8.991
beta_H[13,5]	10.140	0.133	9.890	10.139	10.407
beta_H[14,5]	9.243	0.217	8.836	9.231	9.703
beta_H[15,5]	11.318	0.234	10.831	11.328	11.773
beta_H[16,5]	9.844	0.185	9.468	9.846	10.198
beta_H[1,6]	10.124	0.245	9.730	10.085	10.737
beta_H[2,6]	11.470	0.114	11.247	11.469	11.703
beta_H[3,6]	10.623	0.155	10.297	10.629	10.902
beta_H[4,6]	12.880	0.874	11.131	12.894	14.598
beta_H[5,6]	5.676	0.641	4.566	5.639	6.981
beta_H[6,6]	8.756	0.550	7.564	8.795	9.749
beta_H[7,6]	10.563	0.586	9.393	10.562	11.692
beta_H[8,6]	9.525	0.255	9.051	9.537	9.953
beta_H[9,6]	8.289	0.753	6.814	8.293	9.758
beta_H[10,6]	9.149	0.351	8.379	9.171	9.769
beta_H[11,6]	10.680	0.372	9.894	10.712	11.333
beta_H[12,6]	9.372	0.240	8.926	9.362	9.891
beta_H[13,6]	11.089	0.154	10.793	11.089	11.393
beta_H[14,6]	9.910	0.277	9.350	9.914	10.452
beta_H[15,6]	10.542	0.414	9.721	10.535	11.356
beta_H[16,6]	10.597	0.258	10.065	10.612	11.089
beta_H[1,7]	10.137	1.269	6.814	10.456	11.854
beta_H[2,7]	12.110	0.510	11.022	12.131	13.053
beta_H[3,7]	10.301	0.661	8.844	10.362	11.403
beta_H[4,7]	1.607	4.532	-7.395	1.598	10.807
beta_H[5,7]	5.788	2.018	1.855	5.840	9.564
beta_H[6,7]	7.294	3.126	-0.761	8.540	10.685
beta_H[7,7]	7.570	2.931	1.915	7.580	13.240
beta_H[8,7]	10.834	0.968	9.121	10.835	12.385
beta_H[9,7]	5.023	3.971	-2.758	5.066	12.949
beta_H[10,7]	10.043	1.638	7.204	9.876	13.670
beta_H[11,7]	11.448	1.855	8.369	11.254	15.524
beta_H[12,7]	9.778	0.960	7.617	9.870	11.414
beta_H[13,7]	11.697	0.703	10.084	11.780	12.871
beta_H[14,7]	10.636	0.899	8.790	10.680	12.349
beta_H[15,7]	14.017	2.183	9.723	14.004	18.333
beta_H[16,7]	12.901	1.401	10.468	12.769	16.087
beta0_H[1]	8.208	18.088	-30.741	8.610	42.072
beta0_H[2]	10.511	7.902	-5.449	10.644	26.201
beta0_H[3]	9.626	10.125	-13.096	9.657	31.366
beta0_H[4]	13.622	187.432	-352.652	10.673	390.082
beta0_H[5]	4.487	27.679	-45.334	4.235	59.556
beta0_H[6]	8.123	46.508	-94.447	7.813	113.526
beta0_H[7]	2.820	142.344	-281.301	1.931	292.870
beta0_H[8]	6.909	27.094	-15.989	6.544	31.560
beta0_H[9]	5.164	116.610	-228.979	3.754	246.018
beta0_H[10]	9.154	37.446	-68.164	9.018	86.592
beta0_H[11]	10.188	52.048	-102.844	9.255	115.815
beta0_H[12]	6.879	12.263	-17.758	6.642	33.081
beta0_H[13]	9.808	10.066	-11.011	9.845	29.933
beta0_H[14]	7.347	11.473	-15.139	7.337	31.096
beta0_H[15]	8.051	118.867	-236.060	6.648	251.036
beta0_H[16]	7.564	32.887	-62.094	7.627	76.032

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025